Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
We describe a novel, model-based approach to augmented cognition. We first discuss a subset of cognitive limitations that are likely to impair performance. We then note traditiona...
Identifying human gaze or eye-movement ultimately serves the purpose of identifying an individual’s focus of attention. The knowledge of a person’s object of interest helps us...
Rainer Stiefelhagen, Michael Finke, Jie Yang, Alex...
The subject of collective attention is central to an information age where millions of people are inundated with daily messages. It is thus of interest to understand how attention...
We present a new measure for evaluation of algorithms for the detection of regions of interest (ROI) in, e.g., attention mechanisms. In contrast to existing measures, the present a...